Senior Full Stack Engineer leaning frontend to build Torch Dental's AI-powered Revenue Cycle Management product and contribute to the existing Marketplace app. Work covers React/TypeScript SPA frontend, Python/FastAPI backend APIs, and owning features end to end. Stack includes React, TypeScript, TanStack Router and Query, Python, FastAPI, and Django for the Marketplace.
Torch Dental is a high-growth startup on a mission to empower healthcare providers starting with the $100B+ dental market. Weโre building a new AI powered Revenue Cycle Management product from the ground up to transform how dental practices get paid. Insurance claims today involve significant manual work across follow up, payment posting, and reconciliation. We believe much of that work can be automated, and weโre building the product to make that possible. We also operate a Marketplace that modernizes dental supply procurement with transparent pricing and a seamless online purchasing experience.
Backed by $50M+ from premier investors like Bessemer, American Express, Health Velocity Capital and Felicis, we are a mission-driven team dedicated to solving tangible problems for small business owners. We prioritize customer obsession and a bias for action, fostering a collaborative culture where every engineer is encouraged to take ownership and deliver meaningful impact.
We're looking for a Senior Full Stack Engineer who leans frontend to build our RCM product while also contributing to our established Marketplace. You'll spend the majority of your time building the experiences dental practice owners and their teams use every day, while owning features end to end across the stack.
We care deeply about customers and the product experience. You'll work closely with product, business stakeholders, and other engineers to understand customer problems, shape solutions, and ship experiences that feel simple and intuitive.
We expect AI to be part of how you build. Project planning , driving implementation with coding agents, and reviewing output with the same rigor you'd apply to a teammate's pull request. Our interview process reflects this. During the onsite, you'll build on your own laptop using your own AI tools and setup, so we can see how you actually work.